Text-to-Image
Diffusers
TensorBoard
StableDiffusionPipeline
stable-diffusion
stable-diffusion-diffusers
dreambooth
Instructions to use enddl22/dreambooth_tutorial with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use enddl22/dreambooth_tutorial with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("enddl22/dreambooth_tutorial", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of sks dog" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 3276ee7cb6d624f4f114d4db2baed7b70da90b4d93e595288fbcd666629e13a7
- Size of remote file:
- 3.44 GB
- SHA256:
- 809d6045d816ea193734cc0a07bc3b545e948a5a8f215493cec157b19c553f01
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